Co-modality is a concept based on a unified network system which will ensure the effective and sustainable utilization of all transportation modes. However, the application of co-modality as a measure of evaluating public transit system performance is recent and has been predominantly used in freight transport systems. This study proposes a novel approach by using co-modality as a key performance indicator to characterize public transit systems for passengers. This paper examines a new data set to evaluate transit systems from a user perspective. The data is gathered from an Application Programming Interface (API) which pulls from the real-time General Transit Feed Specification (GTFS). Data was collected over 24 h to explore 4320 transit trips and 69,120 attributes for a single origin–destination pair. Co-modality is used to understand how dozens of transit routes and schedules will best serve transit users. A detailed analysis of trips involving multiple transit segments is conducted to understand how varying headways influence the overall trip travel time. The main conclusion for this paper is that a user perspective is necessary to understand co-modality across public transit systems. Some of the metrics identified in this paper, such as percent of trip spent walking, will be useful in assessing last-mile portions of travel across multiple trips. A better understanding of transit service to travelers by the transit system as a whole will help to improve transportation in dense urban areas.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Characterizing co-modality in urban transit systems from a passengers’ perspective


    Weitere Titelangaben:

    Public Transp


    Beteiligte:
    Islam, Naima (Autor:in) / Talukder, Md Abu Sufian (Autor:in) / Hainen, Alex (Autor:in) / Atkison, Travis (Autor:in)

    Erschienen in:

    Public Transport ; 12 , 2 ; 405-430


    Erscheinungsdatum :

    01.06.2020


    Format / Umfang :

    26 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Study on Route Choice Behavior of Urban Rail Transit Passengers

    Liu, Sha Sha ;Yao, En Jian ;Zhang, Yong Sheng | Trans Tech Publications | 2014


    Role of Passengers in a Modern Urban Rail Transit System

    Xu, Xiaofan / Shen, Liping / Li, Hong | ASCE | 2013


    A Destination Prediction Model for Individual Passengers in Urban Rail Transit

    Wang, Hao / Zhao, Juanjuan / Ye, Kejiang et al. | IEEE | 2020


    Assessing bus transit service from the perspective of elderly passengers in Harbin, China

    Yuan, Yalong / Yang, Min / Wu, Jingxian et al. | Taylor & Francis Verlag | 2019


    Assignment of passengers to transit system

    von Cube, H.G. / Desjardins, R.J. / Dodd, N. | Engineering Index Backfile | 1958